@article{Díaz:2022:10.1038/s41597-022-01774-9,
author = {Díaz, S and Kattge, J and Cornelissen, JHC and Wright, IJ and Lavorel, S and Dray, S and Reu, B and Kleyer, M and Wirth, C and Prentice, IC and Garnier, E and Bönisch, G and Westoby, M and Poorter, H and Reich, PB and Moles, AT and Dickie, J and Zanne, AE and Chave, J and Wright, SJ and Sheremetiev, SN and Jactel, H and Baraloto, C and Cerabolini, BEL and Pierce, S and Shipley, B and Casanoves, F and Joswig, JS and Günther, A and Falczuk, V and Rüger, N and Mahecha, MD and Gorné, LD and Amiaud, B and Atkin, OK and Bahn, M and Baldocchi, D and Beckmann, M and Blonder, B and Bond, W and Bond-Lamberty, B and Brown, K and Burrascano, S and Byun, C and Campetella, G and Cavender-Bares, J and Chapin, FS and Choat, B and Coomes, DA and Cornwell, WK and Craine, J and Craven, D and Dainese, M and de, Araujo AC and de, Vries FT and Domingues, TF and Enquist, BJ and Fagúndez, J and Fang, J and Fernández-Méndez, F and Fernandez-Piedade, MT and Ford, H and Forey, E and Freschet, GT and Gachet, S an},
doi = {10.1038/s41597-022-01774-9},
journal = {Scientific Data},
pages = {1--18},
title = {The global spectrum of plant form and function: enhanced species-level trait dataset},
url = {http://dx.doi.org/10.1038/s41597-022-01774-9},
volume = {9},
year = {2022}
}

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TY  - JOUR
AB  - Here we provide the 'Global Spectrum of Plant Form and Function Dataset', containing species mean values for six vascular plant traits. Together, these traits -plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass - define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date.
AU  - Díaz,S
AU  - Kattge,J
AU  - Cornelissen,JHC
AU  - Wright,IJ
AU  - Lavorel,S
AU  - Dray,S
AU  - Reu,B
AU  - Kleyer,M
AU  - Wirth,C
AU  - Prentice,IC
AU  - Garnier,E
AU  - Bönisch,G
AU  - Westoby,M
AU  - Poorter,H
AU  - Reich,PB
AU  - Moles,AT
AU  - Dickie,J
AU  - Zanne,AE
AU  - Chave,J
AU  - Wright,SJ
AU  - Sheremetiev,SN
AU  - Jactel,H
AU  - Baraloto,C
AU  - Cerabolini,BEL
AU  - Pierce,S
AU  - Shipley,B
AU  - Casanoves,F
AU  - Joswig,JS
AU  - Günther,A
AU  - Falczuk,V
AU  - Rüger,N
AU  - Mahecha,MD
AU  - Gorné,LD
AU  - Amiaud,B
AU  - Atkin,OK
AU  - Bahn,M
AU  - Baldocchi,D
AU  - Beckmann,M
AU  - Blonder,B
AU  - Bond,W
AU  - Bond-Lamberty,B
AU  - Brown,K
AU  - Burrascano,S
AU  - Byun,C
AU  - Campetella,G
AU  - Cavender-Bares,J
AU  - Chapin,FS
AU  - Choat,B
AU  - Coomes,DA
AU  - Cornwell,WK
AU  - Craine,J
AU  - Craven,D
AU  - Dainese,M
AU  - de,Araujo AC
AU  - de,Vries FT
AU  - Domingues,TF
AU  - Enquist,BJ
AU  - Fagúndez,J
AU  - Fang,J
AU  - Fernández-Méndez,F
AU  - Fernandez-Piedade,MT
AU  - Ford,H
AU  - Forey,E
AU  - Freschet,GT
AU  - Gachet,S
AU  - Gallagher,R
AU  - Green,W
AU  - Guerin,GR
AU  - Gutiérrez,AG
AU  - Harrison,SP
AU  - Hattingh,WN
AU  - He,T
AU  - Hickler,T
AU  - Higgins,SI
AU  - Higuchi,P
AU  - Ilic,J
AU  - Jackson,RB
AU  - Jalili,A
AU  - Jansen,S
AU  - Koike,F
AU  - König,C
AU  - Kraft,N
AU  - Kramer,K
AU  - Kreft,H
AU  - Kühn,I
AU  - Kurokawa,H
AU  - Lamb,EG
AU  - Laughlin,DC
AU  - Leishman,M
AU  - Lewis,S
AU  - Louault,F
AU  - Malhado,ACM
AU  - Manning,P
AU  - Meir,P
AU  - Mencuccini,M
AU  - Messier,J
AU  - Miller,R
AU  - Minden,V
AU  - Molofsky,J
AU  - Montgomery,R
AU  - Montserrat-Martí,G
AU  - Moretti,M
AU  - Müller,S
AU  - Niinemets,Ü
AU  - Ogaya,R
AU  - Öllerer,K
AU  - Onipchenko,V
AU  - Onoda,Y
AU  - Ozinga,WA
AU  - Pausas,JG
AU  - Peco,B
AU  - Penuelas,J
AU  - Pillar,VD
AU  - Pladevall,C
AU  - Römermann,C
AU  - Sack,L
AU  - Salinas,N
AU  - Sandel,B
AU  - Sardans,J
AU  - Schamp,B
AU  - Scherer-Lorenzen,M
AU  - Schulze,E-D
AU  - Schweingruber,F
AU  - Shiodera,S
AU  - Sosinski,Ê
AU  - Soudzilovskaia,N
AU  - Spasojevic,MJ
AU  - Swaine,E
AU  - Swenson,N
AU  - Tautenhahn,S
AU  - Thompson,K
AU  - Totte,A
AU  - Urrutia-Jalabert,R
AU  - Valladares,F
AU  - van,Bodegom P
AU  - Vasseur,F
AU  - Verheyen,K
AU  - Vile,D
AU  - Violle,C
AU  - von,Holle B
AU  - Weigelt,P
AU  - Weiher,E
AU  - Wiemann,MC
AU  - Williams,M
AU  - Wright,J
AU  - Zotz,G
DO  - 10.1038/s41597-022-01774-9
EP  - 18
PY  - 2022///
SN  - 2052-4463
SP  - 1
TI  - The global spectrum of plant form and function: enhanced species-level trait dataset
T2  - Scientific Data
UR  - http://dx.doi.org/10.1038/s41597-022-01774-9
UR  - https://www.ncbi.nlm.nih.gov/pubmed/36477373
UR  - https://www.nature.com/articles/s41597-022-01774-9
UR  - http://hdl.handle.net/10044/1/102239
VL  - 9
ER  - 

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